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논문 기본 정보

자료유형
학술저널
저자정보
Md. Parvez Akter (University of Malaya) Saad Mekhilef (University of Malaya) Nadia Mei Lin Tan (Universiti Tenaga Nasional) Hirofumi Akagi (Tokyo Institute of Technology)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.1
발행연도
2015.1
수록면
165 - 175 (11page)

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초록· 키워드

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Energy storage system has been widely applied in power distribution sectors as well as in renewable energy sources to ensure uninterruptible power supply. This paper presents a model predictive algorithm to control a bidirectional AC-DC converter, which is used in an energy storage system for power transferring between the three-phase AC voltage supply and energy storage devices. This model predictive control (MPC) algorithm utilizes the discrete behavior of the converter and predicts the future variables of the system by defining cost functions for all possible switching states. Subsequently, the switching state that corresponds to the minimum cost function is selected for the next sampling period for firing the switches of the AC-DC converter. The proposed model predictive control scheme of the AC-DC converter allows bidirectional power flow with instantaneous mode change capability and fast dynamic response. The performance of the MPC controlled bidirectional AC-DC converter is simulated with MATLAB/Simulink® and further verified with 3.0kW experimental prototypes. Both the simulation and experimental results show that, the AC-DC converter is operated with unity power factor, acceptable THD (3.3% during rectifier mode and 3.5% during inverter mode) level of AC current and very low DC voltage ripple. Moreover, an efficiency comparison is performed between the proposed MPC and conventional VOC-based PWM controller of the bidirectional AC-DC converter which ensures the effectiveness of MPC controller.

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Abstract
1. Introduction
2. Bidirectional AC-DC Converter Topology
3. MPC Formulation
4. Simulation Results
5. Experimental Verifications
6. Efficiency Comparison
7. Conclusion
References

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